R.E. See

2.3k citations
32 papers · 1.9k indexed · h-index 24

Impact in

Papers in

R.E. See

32 papers receiving 1.9k citations

Peers

R.E. See
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 1.6k
  • Behavioral Neuroscience 202
  • Cognitive Neuroscience 632
  • Biological Psychiatry 69
  • Endocrine and Autonomic Systems 104
Replace Beatriz Rocha with:
Beatriz Rocha United States
Patricia Duffy United States
Guy Sandner France
Joshua M. Gulley United States
William C. Griffin United States
Antonella Gasbarri Italy
Siobhan Robinson United States
Cheryl L. Kirstein United States
Andrew M. Farrar United States
Maric Tse Canada
R.E. See relative to Beatriz Rocha United States Beatriz Rocha's profile →
Citations per field
00.5×1.5×
Beatriz Rocha · 1×
Citations per year

Countries citing papers authored by R.E. See

Since Specialization
Citations

This map shows the geographic impact of R.E. See's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R.E. See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.E. See more than expected).

Fields of papers citing papers by R.E. See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.E. See. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R.E. See. The network helps show where R.E. See may publish in the future.

Co-authors

The 25 scholars most cited alongside R.E. See, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.E. See Line = papers co-authored together R.E. See links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008297
2
Conditioned cued recovery of responding following prolonged withdrawal from self-administered cocaine in rats: an animal model of relapse.
1996184
3 2007167
4 2007130
5 2006128
6 2008106
7 200580
8 200767
9 200365
10 198761
11 200860
12 199159
13 199050
14 201447
15 200846
16 199538
17 200137
18 201333
19 198830
20 199628

About R.E. See

R.E. See is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Cognitive Neuroscience, Biological Psychiatry and Molecular Biology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (27 papers), Neuroscience and Neuropharmacology Research (20 papers), Receptor Mechanisms and Signaling (13 papers), Memory and Neural Mechanisms (12 papers), Neuropeptides and Animal Physiology (3 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine regulation and behavior (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Behavioral Neuroscience (202 citations), Cognitive Neuroscience (632 citations), Biological Psychiatry (69 citations) and Endocrine and Autonomic Systems (104 citations). R.E. See has collaborated with scholars based in United States. Frequent co-authors include Matthew W. Feltenstein, William M. Meil, June Rogers, Shannon M. Ghee, Jay Elliott, Jacqueline F. McGinty, G Ellison, Rita A. Fuchs, Matthew C. Hearing and Jeffrey W. Grimm. Their work appears in journals such as Psychopharmacology, Neuroscience, Brain Research, Pharmacology Biochemistry and Behavior and Neuropharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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